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In the current plot, the Model vs Data usage ratio of each appointment type has only one data point. When summarising/extracting the simulation results, we set the parameter only_mean = True.
We can set only_Mean = False and add a range of usage ratios for each appointment type in this plot. NB. The range should include lower (based on 0.025-quantile of simulation usage), mean, and upper values (0.975-quantile).
Make a simple branch to fix this.
The text was updated successfully, but these errors were encountered:
The error bars for most appointment types are not visible, due to the data scale (from 0.1 to 10.0, so that we set log scale for y axis for a clear plot). Once we calibrate all appointment's ratios to [0.8, 1.2] (for example), will improve this draft plot.
In the current plot, the Model vs Data usage ratio of each appointment type has only one data point. When summarising/extracting the simulation results, we set the parameter only_mean = True.
We can set only_Mean = False and add a range of usage ratios for each appointment type in this plot. NB. The range should include lower (based on 0.025-quantile of simulation usage), mean, and upper values (0.975-quantile).
Make a simple branch to fix this.
The text was updated successfully, but these errors were encountered: